548-0919/01 – Digital Processing of Remotely Sensed Data (DZDPZ)
Gurantor department | Department of Geoinformatics | Credits | 10 |
Subject guarantor | prof. Ing. Jiří Horák, Dr. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
Study level | postgraduate | Requirement | Optional |
Year | | Semester | winter + summer |
| | Study language | Czech |
Year of introduction | 2002/2003 | Year of cancellation | 2012/2013 |
Intended for the faculties | HGF, FBI, FEI, FAST | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the subject is to educate students how process and analyse digital data from the remote sensing, classified them, assess and interpret them for various application domains. The critical assessment of data sources, its processing and synthesis of this information in proposals of effective projects.
Teaching methods
Individual consultations
Summary
Zobrazování, komprese, kódování dat. Matematické základy digitálního zpracování dat v DPZ. Úprava obrazu. Matematická morfologie. Barevné modely a jejich převody. Barevné syntézy pro multispektrální data. Radiometrické korekce obrazu. Geometrické korekce obrazu. Diferenciální překreslení digitálních snímků, využití DTM. Geometrické transformace (převzorkování). Spojování snímků. Klasifikace obrazu. Příznakové rozpoznání. Trénovací a testovací množina. Neřízená klasifikace. Kontexturální klasifikace. Využití expertních systémů.
Compulsory literature:
Lillesand T., Kiefer R.: Remote sensing and image interpretation. John Wiley & Sons, 1994
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
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Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Mathematical fundamentals of digital data processing in Remote Sensing. Image modification. Mathematical morphology. Colour models and transformation. Colour synthesis for multispectral data. Radiometric corrections of images. Geometric corrections of images. Differential adjusting of digital images, utilization of DEM. Resampling. Merging. Classification. Detection and recognition of landscape features. Training and testing sets. Uncontrolled classification. Contextural classification. Subpixel classification. Processing of image with very high resolution. Using expert systems.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.